• DocumentCode
    2205625
  • Title

    Adaptive Volterra series model for nonlinear sensor compensation

  • Author

    Zhuang, Zhemin ; Cao, Qin ; Xiao, Wenhui

  • Author_Institution
    Dept. of Electr. Eng., Shantou Univ., China
  • fYear
    2004
  • fDate
    21-25 June 2004
  • Firstpage
    192
  • Lastpage
    194
  • Abstract
    Combining with the Volterra series model, this paper proposes a novel performance improvement method of nonlinear sensor. Volterra series model, which is considered as a nonlinear filter that can reduce the noise of sensor, presents an effective way for modeling and compensation of nonlinear sensor. The simulation in this paper shows that this scheme can improve the sensor performance effectually. Moreover, the scheme provides nonlinear sensor greater accuracy and environmental suitability.
  • Keywords
    Volterra series; intelligent sensors; noise; nonlinear filters; performance evaluation; simulation; adaptive Volterra series model; noise reduction; nonlinear filter; nonlinear sensor compensation; Crosstalk; Intelligent sensors; Kernel; Mathematical model; Monitoring; Noise reduction; Nonlinear filters; Polynomials; Table lookup; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Acquisition, 2004. Proceedings. International Conference on
  • Print_ISBN
    0-7803-8629-9
  • Type

    conf

  • DOI
    10.1109/ICIA.2004.1373349
  • Filename
    1373349